scholarly journals Localization Based on Magnetic Markers for an All-Wheel Steering Vehicle

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2015 ◽  
Author(s):  
Yeun Byun ◽  
Young Kim
Biomag 96 ◽  
2000 ◽  
pp. 643-646
Author(s):  
C. Del Gratta ◽  
S. Della Penna ◽  
P. Battista ◽  
L. Di Donato ◽  
P. Vitullo ◽  
...  

2012 ◽  
Vol 51 ◽  
pp. 023002 ◽  
Author(s):  
Keiji Enpuku ◽  
Hideki Watanabe ◽  
Yuichi Higuchi ◽  
Takashi Yoshida ◽  
Hiroyuki Kuma ◽  
...  

2020 ◽  
Vol 500 ◽  
pp. 166356 ◽  
Author(s):  
Kazuki Akiyoshi ◽  
Takashi Yoshida ◽  
Teruyoshi Sasayama ◽  
Ahmed L. Elrefai ◽  
Misato Hara ◽  
...  

2012 ◽  
Vol 538-541 ◽  
pp. 2878-2881
Author(s):  
Yong Qiang Zhu ◽  
Ping Xia Zhang

In order to improve low-speed flexibility and high-speed handling and stability of multi-axle vehicle, a double-phase steering system was designed with planetary gear system. An in-phase steering mode is used when steering wheel turning in small angle. A adverse-phase steering mode is used when steering wheel turning in large angle. A five-axle vehicle simulation model was established with software ADAMS/VIEW. The research of all-wheel steering and non-all-wheel steering for high speed and low speed was respectively processed. When running in high speed, the lateral acceleration and yaw rate of the centroid are significantly lower when rear wheels steering in in-phase mode than the rear wheels not turning, which makes the possibility of roll and drift decrease, when vehicle overtaking in high-speed. When running in low speed, compared with rear wheels not steering, when rear wheels sreering, lateral acceleration increased by only 12.8%, yaw rate is 17.3% higher, diameter of the centroid trajectory is reduced by 12.9%, which greatly increases the mobility and flexibility of the multi-axle vehicle when turning at low speed.


2014 ◽  
Vol 701-702 ◽  
pp. 807-811 ◽  
Author(s):  
Xin Lai ◽  
Xin Bo Chen ◽  
Xiao Jun Wu ◽  
Dong Liang

The structure and principle of four-wheels independent driving and steering (4WIS-4WID) electric vehicle are presented firstly, and on this basis the structure of network control system base on CAN bus is built. Kinematics and dynamics models of typical steering modes (such as all wheel steering, front (rear) wheel steering, parallel steering, zero-radius steering) are built, and the control strategy is presented. The experimental results show that the control system structure and control algorithm are effective.


Author(s):  
Yeun Sub Byun ◽  
Young Chol Kim

This paper presents a new real-time heading estimation method for an all-wheel steered single-articulated autonomous vehicle guided by a magnetic marker system. To achieve good guidance control for the vehicle, precise estimation of the position and heading angle during travel is necessary. The main concept of this study is to estimate the heading angle from the relative orientations of the magnetic markers and the vehicle motion. To achieve this, a kinematic model of the all-wheel steered vehicle is derived and combined with the motion of a magnetic ruler mounted near each axle underneath the vehicle. The position coordinates and polarities of the magnetic markers, which are provided a priori, are used to determine the vehicle position at every detection instance. A gyroscope is employed to assist real-time heading estimation at sample times when there are no marker detection data. The proposed method was tested on a real vehicle and evaluated by comparing the experimental results with those of the differential global positioning system (DGPS) in real-time kinematics (RTK) mode. Experimental results show that the proposed method exhibits good performance for heading estimation.


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